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Molecular sampling of prostate cancer: a dilemma for predicting disease progression

Andrea Sboner1, Francesca Demichelis23, Stefano Calza45, Yudi Pawitan4, Sunita R Setlur6, Yujin Hoshida78, Sven Perner2, Hans-Olov Adami49, Katja Fall49, Lorelei A Mucci11129, Philip W Kantoff118, Meir Stampfer11129, Swen-Olof Andersson10, Eberhard Varenhorst13, Jan-Erik Johansson10, Mark B Gerstein11415, Todd R Golub1678, Mark A Rubin27* and Ove Andrén10

Author Affiliations

1 Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, Connecticut, 06520, USA

2 Department of Pathology and Laboratory Medicine, Weill Cornell Medical Center, New York, New York, USA

3 Institute for Computational Biomedicine, Weill Cornell Medical Center, New York, New York, USA

4 Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden

5 Department of Biomedical Sciences and Biotechnologies, University of Brescia, Brescia, Italy

6 Department of Pathology, Brigham and Women's Hospital, Boston, Massachusetts, 02115, USA

7 The Broad Institute of MIT and Harvard, Cambridge, Massachusetts, 02142, USA

8 The Dana Farber Cancer Institute, Boston, Massachusetts, 02115, USA

9 Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts, 02115, USA

10 Department of Urology, Örebro University Hospital, Örebro, SE-701 85, Sweden

11 Harvard Medical School, Boston, Massachusetts 02115, USA

12 Channing Laboratory, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts 02115, USA

13 Department of Urology, Linköping University Hospital, Linköping, SE 581 85, Sweden

14 Program in Computational Biology and Bioinformatics, Yale University, New Haven, Connecticut 06520, USA

15 Department of Computer Science, Yale University, New Haven, Connecticut, 06520, USA

16 The Howard Hughes Medical Institute at The Broad Institute of MIT and Harvard, Cambridge, Massachusetts, 02142, USA

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BMC Medical Genomics 2010, 3:8  doi:10.1186/1755-8794-3-8

Published: 16 March 2010

Additional files

Additional file 1:

Supplementary material. This file contains additional information regarding the experimental protocols, the supervised data analysis and the homogeneity data analysis, as well as additional results to further support the main conclusions.

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Additional file 2:

Supplementary figures. This file contains supplementary figures.

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